Usage

Arguments

x

Object of class smoothSurvReg.

cov

Vector or matrix with covariates values for which the survivor curve/cdf
is to be computed and plotted. It must be a matrix with as many columns as
is the number of covariates (interactions included) or the vector of length
equal to the number of covariates (interactions included). Intercept is not
to be included in cov. If cov is missing a survivor curve
for the value of a covariate vector equal to zero is plotted. If there is
only intercept in the model the survivor curve based on the fitted error
distribution is always plotted.

logscale.cov

Vector or matrix with covariate values for the expression of log-scale
(if this depended on covariates).
It can be omitted in the case that log-scale was common for all observations.

time0

Starting time of the follow-up as used in the model. I.e. the
model is assumed to be log(T-time0) = x'beta + sigma*epsilon

plot

If TRUE the plot is directly produced, otherwise only a data.frame
with information used for later plotting is returned.

by

Step for a ploting grid. If missing it is automatically computed.

xlim, ylim

Arguments passed to the plot function.

xlab, ylab

Arguments passed to the plot function.

type, lty

Arguments passed to the plot function.

main, sub

Arguments passed to the plot function.

legend, bty

Argument passed to the plot function.

cex.legend

argument passed to cex argument of the
legend function.

...

Arguments passed to the plot function.

Value

A dataframe with columns named x and y where x gives the grid
and y the values of the hazard function at that grid.